Work closely with the Data Science Manager and software developers to build and maintain the bespoke Fraud Management System, including:
- Daily health checks of fraud detection rules, alert queues and fraud rule optimization
- Identifying new datasets that can be leveraged to improve the detection processes and strengthen the overall fraud function.
- Implement and update rule sets when business rule changes are made
- Implement and manage 24hour monitoring strategy
- Implement and manage early detection and automated account closing on high risk rule-breaks
- Optimize data integrity and completeness within the Fraud Management System
- Manage the development of investigation data tools
- Execute analytical assessments regularly to ensure fraud detection is aligned to the current transactional levels across the different products and users within the group
- Utilize analytics to identify outliers and anomalies to improve the functionality of the fraud detection rules on the datasets
- Analyze data for trends and patterns, and interpret data with an objective of improving the fraud detection rule matrix
- Implement analytical models into production by collaborating with software developers and machine learning engineers
- Understand various technical processes within the business and advise on fraud risks or detection rules that can be implemented to monitor the fraud risk
- Build and maintain reporting outputs
- Self-motivated and assertive
- Strong analytical ability
- Strong verbal and written communication/ presentation skills
- Team player and ability to operate independently
- Good interpersonal skills
- Trustworthy
- Ability to prioritize
- Ability to work in a pressured environment
- Deadline driven
- B. Sc or B. Com in Computer Science, Applied Mathematics, Statistics, Data Science and Analytics or equivalent diploma
- 3+ years of data analysis in the fintech industry
- Preferably 1 2 years working experience within a fraud environment;
- Understanding of AI/ML.
- Experience with Excel, PowerPoint, PowerBI, SQL, and programming languages (i.e. Java/Python, SAS, R)
- Understanding and usage of JSON Path, RabbitMQ and APIs advantageous
